*degree programme in process of being fully state-recognised.
This application-oriented engineering master's degree programme in Computer Science will equip you with in-depth skills and knowledge in the application of algorithms, programming, and machine learning in the context of real-world business problems. A key component of the programme is the concept of "computational thinking." As a student at GISMA University of Applied Sciences, you will be taught how to use abstraction and decomposition to tackle large complex tasks, design large complex systems, and analyse large data sets.
When combined with project and innovation management, as well as technology consulting, this provides the foundation for demanding specialist and management tasks in a wide range of information technology and complementary fields, up to and including self-employment.
The course is available to study both full-time and part-time. The standard period of study is two years full-time, part-time correspondingly longer. Talk to our study advisors to find out whether your previous learning outcomes or relevant work experience make you eligible to shorten the study period to one or one and a half years.
What you will learn
Our MEng Computer Science degree programme is a dynamic and specialised programme that covers all the key areas of this in-demand specialism, from business technology consulting and advanced mathematics to advanced programming and databases, ensuring that you will graduate with the knowledge, skills, and practical experience to thrive in your career in the field.
Accreditations and rankings
GISMA Business School is a state recognised University of Applied Sciences which also benefits from AMBA accreditation, an honour shared by only 6 business schools in Germany and 2% of all business schools worldwide. The prestigious AMBA accreditation represents innovation and excellence in education, which is core to our values at GISMA.
How you will study
GISMA Business School supports flexible and individual learning by applying a systematic hybrid learning scheme.
You will spend part of your lectures in class at our Potsdam campus. These face-to-face phases are complemented by e-learning sessions. You will work on cases, reflect on readings, take part in online discussions, and participate in group exercises and projects. This variety of learning methods is part of our unique teaching strategy, which includes student-centred pedagogy, project-based learning, collaborative learning, and personalised coaching.
Potsdam, your next study destination
As a student at GISMA University of Applied Sciences, you will be based at our flagship Potsdam Campus. This ultra high tech campus is home to all of our University of Applied Sciences students, either in person or virtually. Our classrooms feature the hyflex system, meaning regardless of where our students are in the world, they connect in real-time and benefit from seamless peer-to-peer learning. The campus is in great company, with neighbours such as SAP right across the road.
Potsdam is the picturesque capital city of the state of Brandenburg. It is known for technological innovation, economic growth, a unique culture, and a high standard of living. It is a world heritage site, with the backdrop of outstanding nature. The city also benefits from being the twin city of Berlin, the German capital. The two cities share a border, and the journey from Potsdam Main Station takes just 20-30 minutes to be in the centre of Berlin, where you can find an extensive cultural, retail, and nightlife scene.
Hear from one of our professors
Teaching tech concepts is like tightrope walking. The topics are so interesting, but you need to be very careful to not overwhelm students with too much theory. I have found a solution a long time ago: We should empower students to implement concepts right after learning theories. I really love the thrilled look on their face when students notice they can understand a complex tech concept and implement it in action. This is what the job market is looking for: Graduates who possess such a precious mix of theory and practice.
Prof. Dr. Mohammad Mahdavi
Professor for Data Science
This master’s programme will comprise of a study period of four semesters for full-time study and seven semesters for part-time study. The programme is modularised, whereby each module is assigned a fixed number of credit points and concludes with an examination.
For the master's programs, the total workload for the courses is 60, 90 or 120 ECTS credits, depending on the variant.
In the 2-year format (120 ECTS credits), the curriculum includes a “mobility window” in the 5th semester: a semester reserved for you to study abroad, undertake an internship or complete a business project in practice.
Students starting online will have the option to complete the programme on-campus in Germany seamlessly.
Subject Specific Competencies
General Business Competencies
Action and Intercultural Competencies
Scientific and Methods Competence
Computer technologies are integral to modern day life and are essential to nearly any modern business. As a graduate you will be in high demand across many industries, including IT, software engineering, information technology, web design, and more.
After studying a master’s in computer science, potential graduate opportunities include:
As a student at GISMA, you will be supported by our Career Centre, who will provide coaching sessions to improve your soft skills, such as CV writing, interview preparation, and interpersonal skills. They will also host Career Days, where local, national, and global organisations interview GISMA students for internships, graduate, and leadership positions.
Fees and funding
Please contact a programme consultant for more details on how to apply.
SEPTEMBER 2022 LAUNCH OFFER: 25% early bird discount*. Apply now!
1-year programme (on campus)
Germany & EU fee - € 13,000 / Course
International fee - € 15,500 / Course
Standard early bird discount of up to 20% available for other intakes*
2-year programme (on campus)
Germany & EU fee - € 17,000 / Course
International fee - € 20,000 / course
Standard early bird discount of up to 20% available for other intakes*
*Early bird offer for applications submitted at least 8 weeks before orientation date.
Flexible payment plan
GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of programme in accordance with your payment schedule.
You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.
Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.
*Terms and conditions apply.
Bachelor degree of minimum 180 ECTS credit points (or equivalent) in a relevant discipline (engineering, computer science, natural sciences, mathematics or closely related sciences); pre-master possible for complementary fields of science
GISMA Business School is state recognised and AMBA-accredited
Germany has the 2nd best unemployment rate in Europe at 3.4%*
Chance to earn to €45,000**, the average graduate salary in Germany
Join a network of students from over 40 nationalities across the globe